The impact of physician-managed distribution of urological catheters on utilization
Hata, T.; Hanson, J.
Show abstract
IntroductionWe examine whether provider-supplied urological catheters result in increased utilization by comparing claims data of providers before and after enrollment in a technology platform that allows them to directly order and manage distribution of prosthetics to patients. MethodsWe analyzed trends in per-provider quantity utilization of urological catheters by examining Medicare Part B claims data for HCPCS codes A4351, A4352, and A4353 (and an additional category, ALL CODES, which summed utilization across all 3 codes) from years 2014 to 2019. We then identified 64 referring providers who both submitted claims in at least one of the above three HCPCS codes in 2019 and transitioned to physician-managed distribution in 2021. Finally, we compared overall and per-beneficiary utilization by these providers between 2019 (traditional referral model) and 2021 (provider-supplied model) for each code category. ResultsWe did not detect a significant increase in utilization for any code category. Overall utilization was not significantly different for code groups ALL CODES (p=0.26) and A4352 (p=0.8). Median A4351 utilization per provider decreased by 23% (p=0.01) after providers converted to the provider-supplied model. Correspondingly, median utilization of A4351 per beneficiary decreased by 23% (p=0.08) in the same span. ConclusionsThese findings show that provider-supplied catheter distribution to patients does not lead to increased utilization. In the case of HCPCS code A4351 catheters, physician-managed distribution may reduce wasteful oversupply of units to individual patients, resulting in an overall decrease in utilization.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Characterization of Long COVID among U.S. Medicare Beneficiaries using Claims Data 93%
- The Medicines Intelligence Data Platform: A population-based data resource from New South Wales, Australia 89%
- Using Natural Language Processing of Clinical Notes to Supplement Structured Electronic Health Record Data for Phenotyping Smoking and Obesity in a Healthcare System 88%
Similar papers in this journal
Similar papers in this journal
- Measure what matters: counts of hospitalized patients are a better metric for health system capacity planning for a reopening 91%
- Assessing the quality of clinical and administrative data extracted from hospitals: The General Medicine Inpatient Initiative (GEMINI) experience 91%
- Real-Time Electronic Health Record Mortality Prediction During the COVID-19 Pandemic: A Prospective Cohort Study 91%
Similar papers in this journal
- Financial Conflicts of Interest among U.S. Physician Authors of 2020 Clinical Practice Guidelines: A Cross-Sectional Study 91%
- Sunshine on KOL : a retrospective study about financial ties between medical key opinion leaders and pharmaceutical industry in France 90%
- Acute Pain Pathways: protocol for a prospective cohort study 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.